Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant" space, wh...
Sathish Ramani, Dimitri Van De Ville, Thierry Blu,...
We study a sampling setup where a continuous-time signal is mapped by a memoryless, invertible and nonlinear transformation, and then sampled in a nonideal manner. Such scenarios a...
We investigate the impact of using non-ideal lowpass filters in the modulated wideband (MWC) converter, which is a recent subNyquist sampling system for sparse wideband analog si...
Yilun Chen, Moshe Mishali, Yonina C. Eldar, Alfred...
Abstract: The vertices of regular four-dimensional polytopes are used to generate sets of uniformly distributed three-dimensional rotations, which are provided as tables of Euler a...
Salvatore Mamone, Giuseppe Pileio, Malcolm H. Levi...
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...